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MGC3140 датащи(PDF) 9 Page - Microchip Technology

номер детали MGC3140
подробное описание детали  MGC3140 3D Tracking and Gesture Controller Data Sheet
PDF  49 Pages
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производитель  MICROCHIP [Microchip Technology]
домашняя страница  http://www.microchip.com
Logo MICROCHIP - Microchip Technology

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3.
Theory of Operation: Electrical Near-Field (E-Field) Sensing
Microchip’s GestIC technology is a 3D sensor technology which utilizes an electric field (E-field) for
advanced proximity sensing. It allows realization of new user interface applications by detection, tracking
and classification of a user’s hand gestures in free space.
E-fields are generated by electrical charges and propagate three-dimensionally around the surface,
carrying the electrical charge.
Applying direct voltages (DC) to an electrode results in a constant electric field. Applying alternating
voltages (AC) makes the charges vary over time and, thus, the field. When the charge varies sinusoidally
with frequency ‘f’, the resulting electromagnetic wave is characterized by wavelength λ = c/f, where ‘c’ is
the wave propagation velocity — in vacuum, the speed of light. In cases where the wavelength is much
larger than the electrode geometry, the magnetic component is practically zero and no wave propagation
takes place. The result is quasi-static electrical near field that can be used for sensing conductive objects
such as the human body.
Microchip’s GestIC technology uses five transmit (Tx) frequencies, 42, 43, 44, 45 and 100 kHz, with
wavelengths of at least three kilometers. This wavelength is much larger than the typical range of
electrode dimensions between 5 mm and 20 mm. GestIC systems work without wave propagation.
In case a person’s hand or finger intrudes the electrical field, the field becomes distorted. The field lines
are drawn to the hand due to the conductivity of the human body itself and shunted to ground. The 3D
electric field decreases locally. Microchip’s GestIC technology uses a minimum number of four receiver
(Rx) electrodes to detect the E-field variations at different positions to measure the origin of the electric
field distortion from the varying signals received. The information is used to calculate the position, track
movements and classify movement patterns (gestures).
The two following figures show the influence of an earth-grounded body to the electric field. The proximity
of the body causes a compression of the equipotential lines and shifts the Rx electrode signal levels to a
lower potential which is measured.
Figure 3-1. Equipotential Lines of an Undistorted E-Field
MGC3140
Theory of Operation: Electrical Near-Field (E-Fiel...
© 2018 Microchip Technology Inc.
DS40002037A-page 9



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